Roozbeh Valavi

Ecological Modeling · 2018

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Roozbeh Valavi trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. David Ruppert
  2. V. Bahn
  3. S. Wenger
  4. John Hartigan
  5. Paul H. Hiemstra
  6. Robert Muscarella
  7. Trevor J. Hastie
  8. Julian D. Olden
  9. Brian J. McGill
  10. Klaus Nordhausen

Who trusts Roozbeh Valavi overall

  1. Hanna Meyer
  2. Edzer J. Pebesma
  3. Christoph Reudenbach

Papers from Roozbeh Valavi's perspective

Ordered by how strongly the researchers Roozbeh Valavi trusts endorse each paper. Same corpus, a different order for every researcher.

  1. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  2. Assessing transferability of ecological models: an underappreciated aspect of statistical validation
  3. ENMeval: An R package for conducting spatially independent evaluations and estimating optimal model complexity for Maxent ecological niche models
  4. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  5. Methods to account for spatial autocorrelation in the analysis of species distributional data : a review
  6. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition by Trevor Hastie, Robert Tibshirani, Jerome Friedman
  7. Testing the predictive performance of distribution models
  8. Point process models for presence‐only analysis
  9. A k-means clustering algorithm
  10. Real-time automatic interpolation of ambient gamma dose rates from the Dutch radioactivity monitoring network (Computational Geosciences)

Their papers